{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e6228d69-64b1-4c14-a9ea-c29254b6c770",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "用于绘图的季度汇总数据：\n",
      "       季度   销售额   利润额\n",
      "0  2021Q1  3121  1020\n",
      "1  2021Q2  4086  1421\n",
      "2  2021Q3  4321  1502\n",
      "3  2021Q4  4601  1623\n",
      "4  2022Q1  4936  1781\n",
      "5  2022Q2  4231  1432\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x840 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import random\n",
    "from datetime import datetime, timedelta\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from faker import Faker\n",
    "\n",
    "# ============= 1. 使用 Faker 生成模拟订单数据（基于 erp_order 结构） =============\n",
    "\n",
    "fake = Faker(\"zh_CN\")\n",
    "random.seed(42)\n",
    "np.random.seed(42)\n",
    "\n",
    "# 目标：至少 1000 条，这里生成 2000 条\n",
    "N_ROWS = 2000\n",
    "\n",
    "# 定义季度和时间区间，用于生成下单 / 支付 / 发货时间\n",
    "QUARTERS = {\n",
    "    \"2021Q1\": (datetime(2021, 1, 1), datetime(2021, 3, 31)),\n",
    "    \"2021Q2\": (datetime(2021, 4, 1), datetime(2021, 6, 30)),\n",
    "    \"2021Q3\": (datetime(2021, 7, 1), datetime(2021, 9, 30)),\n",
    "    \"2021Q4\": (datetime(2021, 10, 1), datetime(2021, 12, 31)),\n",
    "    \"2022Q1\": (datetime(2022, 1, 1), datetime(2022, 3, 31)),\n",
    "    \"2022Q2\": (datetime(2022, 4, 1), datetime(2022, 6, 30)),\n",
    "}\n",
    "\n",
    "\n",
    "def random_datetime_in_range(start: datetime, end: datetime) -> datetime:\n",
    "    \"\"\"在给定区间内随机生成一个 datetime。\"\"\"\n",
    "    delta = end - start\n",
    "    seconds = random.randint(0, int(delta.total_seconds()))\n",
    "    return start + timedelta(seconds=seconds)\n",
    "\n",
    "\n",
    "store_names = [\"旗舰店A\", \"旗舰店B\", \"自营店C\", \"专卖店D\"]\n",
    "platforms = [\"天猫\", \"淘宝\", \"京东\", \"拼多多\"]\n",
    "provinces_cities = [\n",
    "    (\"上海市\", \"上海市\"),\n",
    "    (\"北京市\", \"北京市\"),\n",
    "    (\"浙江省\", \"杭州市\"),\n",
    "    (\"广东省\", \"广州市\"),\n",
    "    (\"广东省\", \"深圳市\"),\n",
    "]\n",
    "\n",
    "statuses = [\"已发货\", \"已完成\", \"待发货\"]\n",
    "refund_statuses = [\"未申请退款\", \"成功退款\", \"退款关闭\"]\n",
    "is_gift_choices = [\"是\", \"否\"]\n",
    "\n",
    "rows = []\n",
    "\n",
    "quarter_list = list(QUARTERS.keys())\n",
    "\n",
    "for i in range(N_ROWS):\n",
    "    # 随机分配一个季度，用于后续汇总\n",
    "    quarter = random.choice(quarter_list)\n",
    "    start, end = QUARTERS[quarter]\n",
    "\n",
    "    order_time = random_datetime_in_range(start, end)\n",
    "    payment_date = order_time + timedelta(minutes=random.randint(5, 60))\n",
    "    shipping_date = payment_date + timedelta(hours=random.randint(1, 72))\n",
    "\n",
    "    store_name = random.choice(store_names)\n",
    "    platform = random.choice(platforms)\n",
    "    province, city = random.choice(provinces_cities)\n",
    "\n",
    "    quantity = random.randint(1, 5)\n",
    "    unit_price = round(random.uniform(50, 600), 2)\n",
    "    product_amount = round(quantity * unit_price, 2)\n",
    "\n",
    "    payable_amount = product_amount  # 简化：商品金额即应付金额\n",
    "    paid_amount = round(payable_amount * random.uniform(0.9, 1.0), 2)\n",
    "\n",
    "    spu = f\"SPU{random.randint(1000, 1999)}\"\n",
    "    sku = f\"{spu}-{random.choice(['S', 'M', 'L', 'XL'])}-{random.randint(1, 9)}\"\n",
    "\n",
    "    row = {\n",
    "        \"id\": i + 1,\n",
    "        \"store_name\": store_name,\n",
    "        \"full_channel_user_id\": fake.uuid4(),\n",
    "        \"shipping_date\": shipping_date,\n",
    "        \"payment_date\": payment_date,\n",
    "        \"payable_amount\": payable_amount,\n",
    "        \"paid_amount\": paid_amount,\n",
    "        \"status\": random.choice(statuses),\n",
    "        \"consignee\": fake.name(),\n",
    "        \"spu\": spu,\n",
    "        \"order_time\": order_time,\n",
    "        \"province\": province,\n",
    "        \"city\": city,\n",
    "        \"platform\": platform,\n",
    "        \"original_online_order_number\": fake.uuid4(),\n",
    "        \"sku\": sku,\n",
    "        \"quantity\": quantity,\n",
    "        \"unit_price\": unit_price,\n",
    "        \"product_name\": fake.word() + \"商品\",\n",
    "        \"color_and_spec\": random.choice([\"黑色 S\", \"黑色 M\", \"白色 M\", \"蓝色 L\"]),\n",
    "        \"product_amount\": product_amount,\n",
    "        \"original_price\": round(unit_price * random.uniform(1.0, 1.3), 2),\n",
    "        \"is_gift\": random.choice(is_gift_choices),\n",
    "        \"refund_status\": random.choice(refund_statuses),\n",
    "        \"quarter\": quarter,  # 方便后续按季度汇总\n",
    "    }\n",
    "    rows.append(row)\n",
    "\n",
    "df = pd.DataFrame(rows)\n",
    "\n",
    "# ============= 2. 计算并强制对齐季度销售额/利润额到指定值 =============\n",
    "\n",
    "# 这里用 product_amount 作为销售额基础，先按季度求和\n",
    "sales_by_quarter = df.groupby(\"quarter\")[\"product_amount\"].sum().reindex(quarter_list)\n",
    "\n",
    "# 目标季度销售额（单位：万），来自你上传的表格\n",
    "target_sales = pd.Series(\n",
    "    [3121, 4086, 4321, 4601, 4936, 4231],\n",
    "    index=quarter_list,\n",
    "    name=\"sales_target\",\n",
    ")\n",
    "\n",
    "# 为了让“生成数据汇总后 == 目标值”，对每个季度做线性缩放\n",
    "scale_factors_sales = target_sales / sales_by_quarter\n",
    "\n",
    "# 把缩放系数映射回每一行\n",
    "df[\"sales_scale_factor\"] = df[\"quarter\"].map(scale_factors_sales)\n",
    "df[\"product_amount_scaled\"] = df[\"product_amount\"] * df[\"sales_scale_factor\"]\n",
    "\n",
    "# 生成一个“毛利率”，先随机，再按季度缩放到目标利润\n",
    "df[\"gross_margin_rate\"] = np.random.uniform(0.2, 0.4, size=len(df))\n",
    "df[\"profit_raw\"] = df[\"product_amount_scaled\"] * df[\"gross_margin_rate\"]\n",
    "\n",
    "profit_by_quarter_raw = (\n",
    "    df.groupby(\"quarter\")[\"profit_raw\"].sum().reindex(quarter_list)\n",
    ")\n",
    "\n",
    "target_profit = pd.Series(\n",
    "    [1020, 1421, 1502, 1623, 1781, 1432],\n",
    "    index=quarter_list,\n",
    "    name=\"profit_target\",\n",
    ")\n",
    "\n",
    "scale_factors_profit = target_profit / profit_by_quarter_raw\n",
    "df[\"profit_scale_factor\"] = df[\"quarter\"].map(scale_factors_profit)\n",
    "df[\"profit_scaled\"] = df[\"profit_raw\"] * df[\"profit_scale_factor\"]\n",
    "\n",
    "# 最终用于可视化的汇总结果（四舍五入到整数，更接近表格）\n",
    "summary = pd.DataFrame(\n",
    "    {\n",
    "        \"季度\": quarter_list,\n",
    "        \"销售额\": df.groupby(\"quarter\")[\"product_amount_scaled\"]\n",
    "        .sum()\n",
    "        .reindex(quarter_list)\n",
    "        .round()\n",
    "        .astype(int)\n",
    "        .values,\n",
    "        \"利润额\": df.groupby(\"quarter\")[\"profit_scaled\"]\n",
    "        .sum()\n",
    "        .reindex(quarter_list)\n",
    "        .round()\n",
    "        .astype(int)\n",
    "        .values,\n",
    "    }\n",
    ")\n",
    "\n",
    "print(\"用于绘图的季度汇总数据：\")\n",
    "print(summary)\n",
    "\n",
    "# 这一步只是为了确保与题目给出的数据完全一致（避免浮点误差）\n",
    "summary[\"销售额\"] = [3121, 4086, 4321, 4601, 4936, 4231]\n",
    "summary[\"利润额\"] = [1020, 1421, 1502, 1623, 1781, 1432]\n",
    "\n",
    "# ============= 3. 按 Excel 模板风格绘制分组柱形图 =============\n",
    "\n",
    "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"]  # 中文字体（如果环境没装会显示方块）\n",
    "plt.rcParams[\"axes.unicode_minus\"] = False\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 7), dpi=120)\n",
    "\n",
    "# 深色背景\n",
    "fig.patch.set_facecolor(\"#0b1736\")  # 整体背景\n",
    "ax.set_facecolor(\"#0b1736\")\n",
    "\n",
    "x = np.arange(len(summary[\"季度\"]))\n",
    "bar_width = 0.35\n",
    "\n",
    "# 两组柱子\n",
    "sales_bars = ax.bar(\n",
    "    x - bar_width / 2,\n",
    "    summary[\"销售额\"],\n",
    "    width=bar_width,\n",
    "    label=\"销售额\",\n",
    "    color=\"#0095ff\",\n",
    ")\n",
    "profit_bars = ax.bar(\n",
    "    x + bar_width / 2,\n",
    "    summary[\"利润额\"],\n",
    "    width=bar_width,\n",
    "    label=\"利润额\",\n",
    "    color=\"#ff5b7d\",\n",
    ")\n",
    "\n",
    "# 在柱顶加数值标签\n",
    "for bar in list(sales_bars) + list(profit_bars):\n",
    "    height = bar.get_height()\n",
    "    ax.text(\n",
    "        bar.get_x() + bar.get_width() / 2,\n",
    "        height + 40,\n",
    "        f\"{int(height)}\",\n",
    "        ha=\"center\",\n",
    "        va=\"bottom\",\n",
    "        fontsize=10,\n",
    "        color=\"white\",\n",
    "    )\n",
    "\n",
    "# X 轴刻度\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(summary[\"季度\"], color=\"white\", fontsize=11)\n",
    "\n",
    "# 去掉多余的框线和刻度\n",
    "ax.spines[\"top\"].set_visible(False)\n",
    "ax.spines[\"right\"].set_visible(False)\n",
    "ax.spines[\"left\"].set_visible(False)\n",
    "ax.spines[\"bottom\"].set_color(\"#ffffff\")\n",
    "ax.tick_params(axis=\"y\", colors=\"#ffffff\")\n",
    "ax.yaxis.set_visible(False)  # 原图纵轴弱化，这里直接隐藏刻度\n",
    "\n",
    "# 主标题 & 副标题\n",
    "fig.suptitle(\n",
    "    \"2021年至今季度销售额(万)和利润额(万)\",\n",
    "    fontsize=22,\n",
    "    color=\"white\",\n",
    "    fontweight=\"bold\",\n",
    "    x=0.5,\n",
    "    y=0.95,\n",
    ")\n",
    "ax.text(\n",
    "    0.01,\n",
    "    1.08,\n",
    "    \"2022年第二季度销售额首次出现下降，降幅达到15%\",\n",
    "    transform=ax.transAxes,\n",
    "    fontsize=13,\n",
    "    color=\"white\",\n",
    "    ha=\"left\",\n",
    ")\n",
    "\n",
    "# 自定义图例（右侧小框效果）\n",
    "from matplotlib.patches import Rectangle\n",
    "\n",
    "legend_x = 1.02\n",
    "legend_y_sales = 0.6\n",
    "legend_y_profit = 0.5\n",
    "\n",
    "# 销售额图例框\n",
    "ax.add_patch(\n",
    "    Rectangle(\n",
    "        (legend_x, legend_y_sales),\n",
    "        0.12,\n",
    "        0.06,\n",
    "        transform=ax.transAxes,\n",
    "        fill=False,\n",
    "        edgecolor=\"#0095ff\",\n",
    "        linewidth=1.5,\n",
    "    )\n",
    ")\n",
    "ax.text(\n",
    "    legend_x + 0.06,\n",
    "    legend_y_sales + 0.03,\n",
    "    \"销售额\",\n",
    "    transform=ax.transAxes,\n",
    "    color=\"white\",\n",
    "    fontsize=10,\n",
    "    ha=\"center\",\n",
    "    va=\"center\",\n",
    ")\n",
    "\n",
    "# 利润额图例框\n",
    "ax.add_patch(\n",
    "    Rectangle(\n",
    "        (legend_x, legend_y_profit),\n",
    "        0.12,\n",
    "        0.06,\n",
    "        transform=ax.transAxes,\n",
    "        fill=False,\n",
    "        edgecolor=\"#ff5b7d\",\n",
    "        linewidth=1.5,\n",
    "    )\n",
    ")\n",
    "ax.text(\n",
    "    legend_x + 0.06,\n",
    "    legend_y_profit + 0.03,\n",
    "    \"利润额\",\n",
    "    transform=ax.transAxes,\n",
    "    color=\"white\",\n",
    "    fontsize=10,\n",
    "    ha=\"center\",\n",
    "    va=\"center\",\n",
    ")\n",
    "\n",
    "# 底部数据来源脚注\n",
    "ax.text(\n",
    "    0.0,\n",
    "    -0.15,\n",
    "    \"*注：数据基于模拟订单生成，汇总结果对齐至指定统计口径，统计日期截至2022.06.30\",\n",
    "    transform=ax.transAxes,\n",
    "    fontsize=10,\n",
    "    color=\"white\",\n",
    "    ha=\"left\",\n",
    ")\n",
    "\n",
    "plt.tight_layout(rect=[0, 0.03, 1, 0.9])\n",
    "plt.savefig(\"quarter_sales_profit.png\", facecolor=fig.get_facecolor())\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a3e86d84-35cf-4696-97a2-2f1ad582210e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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